Towards Real-Time Path Planning through Deep Reinforcement Learning for a UAV in Dynamic Environments

标题
Towards Real-Time Path Planning through Deep Reinforcement Learning for a UAV in Dynamic Environments
作者
关键词
Unmanned aerial vehicle (UAV), Path planning, Reinforcement learning, Deep Q-network, STAGE scenario
出版物
出版商
Springer Science and Business Media LLC
发表日期
2019-09-07
DOI
10.1007/s10846-019-01073-3

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